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. 2010 Mar 3;11:115. doi: 10.1186/1471-2105-11-115

Table 4.

Feature evaluation.

Performance % ± s.d.
CV Exp P R FPR F 1 MCC AUCROC AUCRP

1. SVM_1D1-3 22 ± 11 30 ± 11 1.3 ± 0.7 24 ± 7 24 ± 8 0.9172 0.2777
2. SVM_P51D 26 ± 8 29 ± 12 0.9 ± 0.3 27 ± 9 26 ± 9 0.9311 0.3129
3. SVM_P51D_1D1-3 27 ± 10 30 ± 10 1.0 ± 0.4 27 ± 8 27 ± 8 0.9370 0.3204

4. SVM_P7 22 ± 11 37 ± 11 1.8 ± 1.3 26 ± 10 27 ± 10 0.9490 0.3532
5. SVM_P24 26 ± 10 37 ± 14 1.2 ± 0.5 30 ± 9 30 ± 10 0.9529 0.3605
6. SVM_P24_1D1-3 26 ± 6 44 ± 10 1.4 ± 0.3 32 ± 7 33 ± 7 0.9556 0.3659
7. SV_M P24_1D1-3, 3D1-6 28 ± 9 46 ± 10 1.4 ± 0.5 34 ± 8 34 ± 8 0.9635 0.3723

8. SVM_P24_1D1-3, 3D1-9 33 ± 14 48 ± 8 1.4 ± 0.7 37 ± 7 38 ± 6 0.9633 0.4125

Summary of the results of the cross-validation on different selected attributes (linear kernel, regularization parameter c = 1).